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Metadata Files

Data Publication

Discrete Element Method model data of biaxial shear deformation

van den Ende, Martijn

GFZ Data Services

(2018)

Descriptions

Owing to their destructive potential, earthquakes receive considerable attention from laboratory studies. In friction experiments, stick-slips are studied as the laboratory equivalent of natural earthquakes, and numerous attempts have been made to simulate stick-slips numerically using the Discrete Element Method (DEM). However, while laboratory stick-slips commonly exhibit regular stress drops and recurrence times, stick-slips generated in DEM simulations are highly irregular. This discrepancy highlights a gap in our understanding of stick-slip mechanics, which propagates into our understanding of earthquakes. In this work, we show that regular stick-slips emerge in DEM when time-dependent compaction by pressure solution is considered. We further show that the stress drop and recurrence time of stick-slips is directly controlled by the kinetics of pressure solution. Since compaction is known to operate in faults, this mechanism for frictional instabilities directly relates to natural seismicity. The zip-fle contains a Python script (render_figures.py) that is used to generate the data fgures as reported by Van den Ende & Niemeijer (2018), auxiliary script fles in the scripts directory, and the original model data in ASCII and HDF format in the data directory. The main Python script fle render_figures.py will read and process the original model data and generate the interactive data fgures. These fgures are automatically saved in PDF format. More information is given in Van den Ende & Niemeijer (2018) to which these data and scripts are supplementary material to.

Keywords


Originally assigned keywords
Discrete Element Method
Biaxial shear deformation
Stick-slip mechanics
EPOS
European Plate Observing System
multi-scale laboratories
rock and melt physical properties

Corresponding MSL vocabulary keywords
biaxial apparatus: direct shear

MSL enriched keywords
Apparatus
deformation testing
shear testing
biaxial apparatus: direct shear
compression testing
biaxial compression apparatus
Measured property
friction - controlled slip rate
friction coefficient
rate and state friction (RSF) parameters
stress drop
strain
coupled mechanical-chemical effects
rate of pressure solution
Inferred deformation behavior
deformation behaviour
frictional deformation
microphysical deformation mechanism
time-dependent mechanism
pressure solution
Measured property
friction - controlled slip rate
friction coefficient
rate and state friction (RSF) parameters
stress drop
strain

MSL enriched sub domains i

rock and melt physics
analogue modelling of geologic processes

Source

https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3116899

Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2018.008


Creators

van den Ende, Martijn

Utrecht University

ORCID:

https://orcid.org/0000-0002-0634-7078


Contributors

van den Ende, Martijn

ContactPerson

Utrecht University

ORCID:

https://orcid.org/0000-0002-0634-7078

van den Ende, Martijn

Researcher

Utrecht University

ORCID:

https://orcid.org/0000-0002-0634-7078

van den Ende, Martijn

DataCollector

Utrecht University

ORCID:

https://orcid.org/0000-0002-0634-7078

Experimental Rock Deformation/HPT-Lab (Utrecht University, The Netherlands)

HostingInstitution

Utrecht University, The Netherlands


References

10.1029/2018gl078103


Citation

van den Ende, M. (2018). Discrete Element Method model data of biaxial shear deformation [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2018.008


Dates

Created:

2018-02

Issued:

2018


Language

en


Funding References

Funder name: Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Funder identifier: https://doi.org/10.13039/501100003246

Funder identifier type: Crossref Funder ID

Award number: 854.12.001

Award title: NWO Vidi

Funder name: H2020 European Research Council

Funder identifier: https://doi.org/10.13039/100010663

Funder identifier type: Crossref Funder ID

Award number: 335915

Award title: ERC Starter


Rights

CC BY 4.0